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Automatic prediction of photo aesthetic quality is useful for many practical purposes. Current computational approaches typically solved this problem by assigning a categorical label (good or bad) to a photo. However, due to the subjectivity and complexity of humans aesthetic judgments, only a categorical label is insufficient to represent humans perceived aesthetic quality of a photo. This paper...
We propose Fides, a computation offloading mechanism for mobile devices based on trust between them. Fides provides functionalities to the application developers in terms of (i) application splitting and (ii) metric proposal, according to which the offloading decisions will be made. A collective intelligence mechanism is learning the parameters of the ambient environment and selects the proper nearby...
In this work, we present a novel algorithm for face recognition named statistical local binary patterns (sLBP). This is a further development of original local binary pattern algorithm. Our method is applied for face recognition under visual light environment dealing with dramatically illumination varying on faces After a statistical analysis on the distribution probability of the gray-level difference...
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